| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w21868 |
| 来源ID | Working Paper 21868 |
| Patent Citation Data in Social Science Research: Overview and Best Practices | |
| Adam B. Jaffe; Gaétan de Rassenfosse | |
| 发表日期 | 2016-01-11 |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | The last two decades have witnessed a dramatic increase in the use of patent citation data in social science research. Facilitated by digitization of the patent data and increasing computing power, a community of practice has grown up that has developed methods for using these data to: measure attributes of innovations such as impact and originality; to trace flows of knowledge across individuals, institutions and regions; and to map innovation networks. The objective of this paper is threefold. First, it takes stock of these main uses. Second, it discusses four pitfalls associated with patent citation data, related to office, time and technology, examiner, and strategic effects. Third, it highlights gaps in our understanding and offers directions for future research. |
| 主题 | Development and Growth ; Innovation and R& ; D |
| URL | https://www.nber.org/papers/w21868 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/579542 |
| 推荐引用方式 GB/T 7714 | Adam B. Jaffe,Gaétan de Rassenfosse. Patent Citation Data in Social Science Research: Overview and Best Practices. 2016. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w21868.pdf（312KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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